The store facts a visiting bot needs: how many books stand published, the direct price, the skill points rule, free first chapters, and the store addresses.
This tool declares no required parameters. Add optional parameters from the input schema as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {},
"name": "store_facts"
}
}| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden. It helpfully discloses the kinds of facts returned, which gives some transparency about output content, but it does not state that the operation is read-only, describe freshness or caching, or explain the response format beyond listing fact categories.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence that enumerates the factual content without filler. The phrasing 'a visiting bot needs' is slightly informal but does not obscure meaning or waste significant space.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter tool with no output schema, the description must explain what is returned, and it does so by listing five concrete fact categories. It could be strengthened with format or freshness details, but it is largely complete for this simple read-only facts tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so there is no parameter semantics to clarify. The baseline for a no-parameter tool is 4, and the description correctly adds no unnecessary parameter discussion.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the resource as store facts and enumerates the specific information returned: published book count, direct price, skill points rule, free first chapters, and store addresses. It is distinguishable from siblings like list_books or list_skills, though it lacks a direct action verb such as 'get' or 'retrieve'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no explicit guidance on when to use this tool versus alternatives, no mention of prerequisites, and no exclusions. An agent can infer it is for store metadata, but the description does not state that clearly or route away from other fact-gathering tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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